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Add documentation for consumption metrics
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docs/consumption_metrics.md
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docs/consumption_metrics.md
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### Overview
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Pageserver and proxy periodically collect consumption metrics and push them to a HTTP endpoint.
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- The metrics are collected in a separate thread, and the collection interval and endpoint are configurable.
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- Metrics are cached, so that we don't send unchanged metrics on every iteration.
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- Metrics are sent in batches of 1000 (see CHUNK_SIZE const) metrics max with no particular grouping guarantees.
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batch format is
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```json
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{ "events" : [metric1, metric2, ...]]}
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```
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See metric format examples below.
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- All metrics values are in bytes, unless otherwise specified.
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- Currently no retries are implemented.
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### Pageserver metrics
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#### Configuration
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The endpoint and the collection interval are specified in the pageserver config file (or can be passed as command line arguments):
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`metric_collection_endpoint` defaults to None, which means that metric collection is disabled by default.
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`metric_collection_interval` defaults to 10min
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#### Metrics
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Currently, the following metrics are collected:
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- `written_size`
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Amount of WAL produced , by a timeline, i.e. last_record_lsn
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This is an absolute, per-timeline metric.
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- `resident_size`
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Size of all the layer files in the tenant's directory on disk on the pageserver.
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This is an absolute, per-tenant metric.
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- `remote_storage_size`
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Size of the remote storage (S3) directory.
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This is an absolute, per-tenant metric.
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- `timeline_logical_size`
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Logical size of the data in the timeline
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This is an absolute, per-timeline metric.
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- `synthetic_storage_size`
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Size of all tenant's branches including WAL
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This is the same metric that `tenant/{tenant_id}/size` endpoint returns.
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This is an absolute, per-tenant metric.
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Synthetic storage size is calculated in a separate thread, so it might be slightly outdated.
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#### Format example
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```json
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{
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"metric": "remote_storage_size",
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"type": "absolute",
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"time": "2022-12-28T11:07:19.317310284Z",
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"idempotency_key": "2022-12-28 11:07:19.317310324 UTC-1-4019",
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"value": 12345454,
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"tenant_id": "5d07d9ce9237c4cd845ea7918c0afa7d",
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"timeline_id": "a03ebb4f5922a1c56ff7485cc8854143",
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}
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```
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`idempotency_key` is a unique key for each metric, so that we can deduplicate metrics.
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It is a combination of the time, node_id and a random number.
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### Proxy consumption metrics
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#### Configuration
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The endpoint and the collection interval can be passed as command line arguments for proxy:
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`metric_collection_endpoint` defaults to None, which means that metric collection is disabled by default.
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`metric_collection_interval` defaults to 10min
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#### Metrics
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Currently, only one proxy metric is collected:
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- `proxy_io_bytes_per_client`
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Outbound traffic per client.
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This is an incremental, per-endpoint metric.
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#### Format example
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```json
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{
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"metric": "proxy_io_bytes_per_client",
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"type": "incremental",
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"start_time": "2022-12-28T11:07:19.317310284Z",
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"stop_time": "2022-12-28T11:07:19.317310284Z",
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"idempotency_key": "2022-12-28 11:07:19.317310324 UTC-1-4019",
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"value": 12345454,
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"endpoint_id": "5d07d9ce9237c4cd845ea7918c0afa7d",
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}
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```
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The metric is incremental, so the value is the difference between the current and the previous value.
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If there is no previous value, the value, the value is the current value and the `start_time` equals `stop_time`.
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### TODO
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- [ ] Handle errors better: currently if one tenant fails to gather metrics, the whole iteration fails and metrics are not sent for any tenant.
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- [ ] Add retries
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- [ ] Tune the interval
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